Abstract 6257: Spatial and multi-omic profiling of metastatic colorectal cancer reveals key cellular ecosystems and drivers of heterogeneity

Colorectal cancer (CRC) metastasis is highly aggressive and associated with poor outcomes. Recent studies have highlighted greater heterogeneity in gene expression within metastatic tumor cells compared to primary tumor cells. However, the underlying factors driving these differences remain poorly understood. We hypothesize that both genetic alterations and the tumor microenvironment play key roles in shaping this heterogeneity. To investigate these aspects, we established a cohort through the Human Tumor Atlas Network composed of 26 primary CRC samples and 41 metastatic CRC samples from multiple organs. We conducted whole exome sequencing (WES), single-nucleus ATAC/RNA-seq (snATAC/RNA-seq), and spatial transcriptomics (Xenium) assays to comprehensively analyze genetic alterations, gene expression patterns, and their spatial relations. Our findings revealed a higher proportion of TP53 and KRAS mutations in metastatic samples compared to primary tumor samples. Analysis of snRNA-seq data identified distinct tumor cell populations characterized by gene signatures from 12 published gene expression modules. Primary tumor cells were predominantly enriched for tumor intestinal stem cell-like and intestinal modules, while metastatic tumor cells showed higher representation of injury repair, epithelial-mesenchymal transition (EMT), osteoblast-like, and neuroendocrine modules. Notably, a microsatellite instability-high (MSI-high) metastatic sample exhibited relatively higher signatures of absorptive intestinal and squamous cancer modules than other microsatellite-stable samples, suggesting a unique gene expression profile in MSI-high CRC metastasis. To spatially study these cancer modules, we defined spatial tumor microregions as regions of tumor cells separated by stromal tissues. Using the Xenium assay, we mapped the gene modules within these microregions and observed significant enrichment of EMT and injury repair modules at the peripheral tumor microregions in metastatic samples. Conversely, the hypoxia module was more prominently enriched at the core of tumor microregions in metastatic samples compared to primary tumors. These findings suggest a strong association between tumor cell location within the microenvironment and their gene expression profiles, shedding light on the spatial dynamics of tumor heterogeneity in CRC metastasis. In summary, our results suggest that the heterogeneity of gene expression in metastatic CRC is driven by genetic alterations and strongly influenced by the tumor microenvironment. Citation Format: Chien-Wei Peng, Michael Iglesia, Adrienne Visani, Xiang Li, Xiangwei Fang, Reyka G. Jayasinghe, Jingxian Liu, John Herndon, Jacqueline Mudd, Andrew Houston, Preet Lal, Siqi Chen, Ambrose Plante, André Targino da Costa, Kapur B. Dhami, Jennifer Ponce, Robert Fulton, Michael Heinz, Milan Chheda, Feng Chen, Ryan C. Fields, Li Ding. Spatial and multi-omic profiling of metastatic colorectal cancer reveals key cellular ecosystems and drivers of heterogeneity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 6257.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2025-04-21
DOI
https://doi.org/10.1158/1538-7445.am2025-6257
Primary Topic
Cancer Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 6257: Spatial and multi-omic profiling of metastatic colorectal cancer reveals key cellular ecosystems and drivers of heterogeneity

Chien‐Wei Peng, Preet Lal, Xiangwei Fang, Jacqueline L. Mudd et al.
Cancer Research
Cancer Research and Treatments
article

Abstract 6257: Spatial and multi-omic profiling of metastatic colorectal cancer reveals key cellular ecosystems and drivers of heterogeneity

Chien‐Wei Peng, Preet Lal, Xiangwei Fang, Jacqueline L. Mudd, Ana Costa, Reyka G. Jayasinghe, Li Ding, Jennifer Ponce, Kapur B. Dhami, John M. Herndon, Michael Heinz, Feng Chen, Ambrose Plante, Robert S. Fulton, Michael D. Iglesia, Milan G. Chheda, Ryan C. Fields, Jingxian Liu, Andrew Houston, Xiang Li, Siqi Chen, Adrienne Visani
article en

Abstract

Colorectal cancer (CRC) metastasis is highly aggressive and associated with poor outcomes. Recent studies have highlighted greater heterogeneity in gene expression within metastatic tumor cells compared to primary tumor cells. However, the underlying factors driving these differences remain poorly understood. We hypothesize that both genetic alterations and the tumor microenvironment play key roles in shaping this heterogeneity. To investigate these aspects, we established a cohort through the Human Tumor Atlas Network composed of 26 primary CRC samples and 41 metastatic CRC samples from multiple organs. We conducted whole exome sequencing (WES), single-nucleus ATAC/RNA-seq (snATAC/RNA-seq), and spatial transcriptomics (Xenium) assays to comprehensively analyze genetic alterations, gene expression patterns, and their spatial relations. Our findings revealed a higher proportion of TP53 and KRAS mutations in metastatic samples compared to primary tumor samples. Analysis of snRNA-seq data identified distinct tumor cell populations characterized by gene signatures from 12 published gene expression modules. Primary tumor cells were predominantly enriched for tumor intestinal stem cell-like and intestinal modules, while metastatic tumor cells showed higher representation of injury repair, epithelial-mesenchymal transition (EMT), osteoblast-like, and neuroendocrine modules. Notably, a microsatellite instability-high (MSI-high) metastatic sample exhibited relatively higher signatures of absorptive intestinal and squamous cancer modules than other microsatellite-stable samples, suggesting a unique gene expression profile in MSI-high CRC metastasis. To spatially study these cancer modules, we defined spatial tumor microregions as regions of tumor cells separated by stromal tissues. Using the Xenium assay, we mapped the gene modules within these microregions and observed significant enrichment of EMT and injury repair modules at the peripheral tumor microregions in metastatic samples. Conversely, the hypoxia module was more prominently enriched at the core of tumor microregions in metastatic samples compared to primary tumors. These findings suggest a strong association between tumor cell location within the microenvironment and their gene expression profiles, shedding light on the spatial dynamics of tumor heterogeneity in CRC metastasis. In summary, our results suggest that the heterogeneity of gene expression in metastatic CRC is driven by genetic alterations and strongly influenced by the tumor microenvironment. Citation Format: Chien-Wei Peng, Michael Iglesia, Adrienne Visani, Xiang Li, Xiangwei Fang, Reyka G. Jayasinghe, Jingxian Liu, John Herndon, Jacqueline Mudd, Andrew Houston, Preet Lal, Siqi Chen, Ambrose Plante, André Targino da Costa, Kapur B. Dhami, Jennifer Ponce, Robert Fulton, Michael Heinz, Milan Chheda, Feng Chen, Ryan C. Fields, Li Ding. Spatial and multi-omic profiling of metastatic colorectal cancer reveals key cellular ecosystems and drivers of heterogeneity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 6257.

Cancer ResearchVol. 85(8_Supplement_1)
Washington University in St. Louis (US)
Openalex Percentile: Top 91%
Cancer Research and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.